Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

TechCrunch

APRIL 27, 2021

CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. The first is the business user, who can simply query the data with a natural language question to get results.

Artificial Inteligence 212

Artificial Inteligence Tools Artificial Intelligence Machine Learning 212

TechCrunch

MAY 16, 2022

Claravine , a self-described marketing data platform, today announced that it raised $16 million in a Series B round led by Five Elms Capital with participation from Grayhawk Capital, Next Frontier Capital, Peninsula Ventures, Kickstart Fund, and Silverton Partners. ” Claravine’s data management platform.

Marketing 182

Marketing Data Software Review Technical Review 182

Dataiku

SEPTEMBER 18, 2023

In the realm of data preparation and business intelligence (BI), the collaboration between Dataiku ( a Google Cloud Ready - Cloud SQL Partner ) and Google Cloud SQL presents a transformative opportunity for organizations seeking to optimize their data workflows and glean actionable insights.

Google Cloud 75

Google Cloud Cloud Data Business Intelligence 75

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Dzone - DevOps

NOVEMBER 21, 2023

In the midst of our ever-expanding digital landscape, data management undergoes a metamorphic role as the custodian of the digital realm, responsible for the ingestion, storage, and comprehension of the immense volumes of information generated daily. Data cleaning and validation: Clean the data and validate the values for accuracy.

Analytics 59

Analytics Data Storage Business Intelligence 59

Perficient

FEBRUARY 16, 2023

This is the second blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks.

Data 110

Data Google Cloud Analytics Cloud 110

CIO

JANUARY 12, 2023

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor.

Technical Review 190

Technical Review Technology Innovation Data Center 190

Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. The All Flash G Series Access node for HCP has unlocked new uses for object storage. He also cites some of the recent enhancement that have been added to HCP.

Storage 66

Storage Software Review Banking Technical Review 66

TechCrunch

JUNE 1, 2022

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

JANUARY 26, 2023

global inflation rate, an ongoing talent squeeze, and persistent supply issues as a triple threat to CIOs’ ability to realize time to value for their tech investments this year, according to its 2023 Gartner CIO and Technology Executive Survey , which gathered data from 2,203 CIOs in 81 countries and all major industries.

Budget 346

Budget Fractional CTO Off-The-Shelf Tourism 346

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 52

Dzone - DevOps

OCTOBER 17, 2023

In an era where the Internet of Things (IoT) has deeply penetrated multiple facets of life—from smart homes to industrial automation—the volume, velocity, and variety of data are reaching unprecedented levels. Data integration, a cornerstone in the realm of analytics and business intelligence, has had to adapt rapidly.

IoT 40

IoT Data Business Intelligence Storage 40

Tandem

AUGUST 9, 2023

The journey to data maturity begins with the recognition of the vast opportunities hidden within your organization’s data. Unlocking this potential requires a transformation in the way your organization accesses, analyzes, and utilizes data. Three Signs that Your Organization’s Data is Locked in Silos 1.

Data 52

Data Culture Analysis Machine Learning 52

Sunflower Lab

JULY 5, 2023

The enterprises are now actively engaged in creating efficient tools to collaborate with the health sector and can reduce mismanagement and traditional data management methods. Power BI is one of the leading tools in business intelligence software. Why Business Intelligence Software?

Healthcare 52

Healthcare Data Business Intelligence Technical Review 52

Apps Associates

MAY 18, 2021

Background: When data lakes first came on the scene they were usually on-premises Hadoop clusters. Such systems could store any kind of data in its raw format at massive scale. Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java).

Cloud 98

Cloud Data Azure Analytics 98

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 52

CIO

NOVEMBER 22, 2022

The chain is rolling out new hand-held devices that allow associates to easily check pricing and inventory availability in hand or from more than 40 feet away, which is helpful when serving customers and locating products in overhead storage. And how is that data reconciled into the POS systems to determine in-store product quantity?

Retail 363

Retail Minimum Viable Product Architecture Machine Learning 363

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data 80

Data Analytics Cloud Technical Review 80

Openxcell

OCTOBER 26, 2023

Introduction For businesses looking to revamp their digital assets holding capacity, enterprise data warehouses are great tools to get started with. Modern EDWs help these enterprises achieve data consistency, efficiency, and scalability. What is an Enterprise Data Warehouse? What is an Enterprise Data Warehouse?

Enterprise 52

Enterprise Data Technical Review Analytics 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data 89

Data Analytics Open Source Architecture 89

CTOvision

SEPTEMBER 12, 2016

The world seems to run on big data nowadays. In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. It’s equally difficult to forget that big data is still relatively new to the mainstream. Rick Delgado.

Big Data 147

Big Data Analytics Data Storage 147

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop. READ MORE.

Big Data 80

Big Data Data Artificial Intelligence Artificial Inteligence 80

Datavail

SEPTEMBER 15, 2022

Business intelligence (BI) refers to collecting and analyzing data produced by your operations. Analyzing business data allows you to identify insights that will support business decisions that produce growth. How Best Practices for Data Governance Support Business Intelligence.

Government 40

Government Data Business Intelligence Compliance 40

TechCrunch

JULY 19, 2022

The trend is even stronger if you omit data from China, where the Communist Party’s influence tends to distort the funding picture. It plans to use the funds to eventually combine clean power production and storage with green hydrogen generation and direct air capture. In total, those five climate tech deals pulled in $1.4

Energy 223

Energy Storage Trends Development 223

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data 87

Data Data Engineering Big Data Architecture 87

Apiumhub

APRIL 22, 2021

Every day quintillion bytes of data are created, and this pace is accelerating at a daily rate. With so much information at our disposal, it is becoming increasingly important for organizations and enterprises to access and analyze the relevant data to predict outcomes and improve services. What is Data Modeling? Data models.

Tools 59

Tools Data Business Intelligence Analytics 59

Datavail

SEPTEMBER 28, 2022

Data-driven decision making is proving itself to be invaluable in almost every business vertical. The challenge is identifying the right data management/analytics approach that will allow your business to achieve successful data-driven decision making. The Current State of Data-Driven Decision Making.

Data 40

Data Business Intelligence Government Analytics 40

Honeycomb

FEBRUARY 3, 2022

You probably have already answered this before, but do you have a good rule of thumb for where o11y [observability] ends and BI [business intelligence]/data warehouses begin? It’s okay if these take longer to run, because you aren’t trying to use this data to react in real time, but rather to feed into other tools or system.

Tools 52

Tools Data Business Intelligence Analysis 52

Strategy Driven

APRIL 29, 2023

In the digital age, sales lead management has become essential to business growth, and data is the key to unlocking its full potential. Data-driven sales enable companies to gain insights into their customers and prospects, prioritize leads, and optimize their sales pipeline.

Data 38

Data Weak Development Team Real Estate Storage 38

Datavail

JULY 14, 2022

While maximizing all business assets is the goal of most business owners, many don’t have the in-house resources needed to capture and manage all the assets that their organization generates. Streaming data is one such asset. Streaming analytics tools are emerging to respond to this gap in business intelligence.

Data 52

Data AWS Analytics Programming 52

Trigent

JUNE 20, 2022

Businesses worldwide are realizing the importance of the considerable volume of data they possess and the need to extract value from it and incorporate it into enhancing Customer Experience or simplifying operational processes for improved results. This is where data engineering services providers come into play.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Datavail

APRIL 13, 2022

Decades after it was introduced, ETL (extract, transform, load) remains the predominant method of data integration. Along with modern variants such as ELT and ETLT, the ETL process is used to transfer massive amounts of data every day quickly and efficiently. the amount of new data and the speed at which it arrives).

Data 52

Data How To Case Study Storage 52